Effects of insect longevity and drought conditions on aster leafhopper (Hemiptera: Cicadellidae) fecundity
Bibliographic record
Abstract
Insect population dynamics profoundly affect the potential for a species to serve as a pest, highlighting the importance of proper quantification and monitoring of insect reproduction. Important measurements of reproduction include individual female egg load and realized fecundity, which can be affected by insect longevity and host quality. Aster leafhoppers (Macrosteles quadrilineatus Forbes) are an important pest in Western Canada and the upper Midwest of the United States, yet little is known about factors influencing their fecundity, and thus, population dynamics. To evaluate age-specific changes in fecundity, newly emerged pairs of aster leafhoppers were caged onto plants, and egg and nymph numbers were determined on a weekly basis until females died. Moreover, water deficit can affect amino acid concentrations in phloem sap, and in turn, affect plant attractiveness and suitability for insect herbivores. To examine the relationship between water deficit and reproductive potential, aster leafhoppers were reared on unstressed and water-stressed barley plants until adult emergence. Pairs with all possible combinations of leafhoppers from each water stress condition were made and allowed to reproduce. Amino acid concentrations were quantified in unstressed and water-stressed barley plants. Aster leafhoppers produced eggs throughout their adult stage, with numbers decreasing as individuals got older. Females reared on water-stressed plants had fewer eggs following adult emergence. Following mating, females that had been reared on unstressed plants had a similar egg load to those that had been reared on water-stressed plants. Unstressed plants had a higher concentration of aspartic acid and a lower concentration of tryptophan.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".